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Fulltext Nepal's first case of COVID-19 and public health response

Shrestha R, Shrestha S, Khanal P, Kc B

J Travel Med, 2020 May 18;27(3).
PMID: 32104884 DOI: 10.1093/jtm/taaa024
Fulltext Nepal's First Case of COVID-19 and public health response

Shrestha R, Shrestha S, Khanal P, Bhuvan KC

Tree Physiol, 2020 Mar 03.
PMID: 32159805 DOI: 10.1093/treephys/tpaa024
Fulltext Determinants of active aging and quality of life among older adults: systematic review

Marzo RR, Khanal P, Shrestha S, Mohan D, Myint PK, Su TT

Front Public Health, 2023;11:1193789.
PMID: 37435519 DOI: 10.3389/fpubh.2023.1193789

INTRODUCTION: Population demography across the globe shows an increasing trend in the aging population due to better healthcare, improved nutrition, advanced health-related technology, and decreased fertility rate. Despite these advancements, there remains a knowledge gap in understanding the association between active aging determinants and quality of life (QoL) among older adults, particularly within diverse cultural contexts, which has not been adequately explored in previous research. Therefore, understanding the association between active aging determinants and QoL can help policymakers plan early interventions or programs to assist future older adults in both aging actively and optimizing their quality of life (QoL), as these two factors have a bidirectional relationship.
OBJECTIVE: This study aimed to review evidence regarding the association between active aging and quality of life (QoL) among older adults and to determine the most widely used study designs and measurement instruments in studies conducted between 2000 and 2020.
METHODS: Relevant studies were identified by a systematic search of four electronic databases and cross-reference lists. Original studies examining the association between active aging and QoL in individuals aged 60 years or older were considered. The quality of the included studies and the direction and consistency of the association between active aging and QoL were assessed.
RESULTS: A total of 26 studies met the inclusion criteria and were included in this systematic review. Most studies reported a positive association between active aging and QoL among older adults. Active aging had a consistent association with various QoL domains including physical environment, health and social services, social environment, economic, personal, and behavioral determinants.
CONCLUSION: Active aging had a positive and consistent association with several QoL domains among older adults, backing the notion that the better the active aging determinants, the better the QoL among older adults. Considering the broader literature, it is necessary to facilitate and encourage the active participation of older adults in physical, social, and economic activities for the maintenance and/or improvement of QoL. Identifying other possible determinants and enhancing the methods to improve those determinants may help improve the QoL among older adults.
Fulltext Integration of System Biology Tools to Investigate Huperzine A as an Anti-Alzheimer Agent

Khanal P, Zargari F, Far BF, Kumar D, R M, Mahdi YK, et al.

Front Pharmacol, 2021;12:785964.
PMID: 34966281 DOI: 10.3389/fphar.2021.785964

Aim: The present study aimed to investigate huperzine A as an anti-Alzheimer agent based on the principle that a single compound can regulate multiple proteins and associated pathways, using system biology tools. Methodology: The simplified molecular-input line-entry system of huperzine A was retrieved from the PubChem database, and its targets were predicted using SwissTargetPrediction. These targets were matched with the proteins deposited in DisGeNET for Alzheimer disease and enriched in STRING to identify the probably regulated pathways, cellular components, biological processes, and molecular function. Furthermore, huperzine A was docked against acetylcholinesterase using AutoDock Vina, and simulations were performed with the Gromacs package to take into account the dynamics of the system and its effect on the stability and function of the ligands. Results: A total of 100 targets were predicted to be targeted by huperzine A, of which 42 were regulated at a minimum probability of 0.05. Similarly, 101 Kyoto Encyclopedia of Genes and Genomes pathways were triggered, in which neuroactive ligand-receptor interactions scored the least false discovery rate. Also, huperzine A was predicted to modulate 54 cellular components, 120 molecular functions, and 873 biological processes. Furthermore, huperzine A possessed a binding affinity of -8.7 kcal/mol with AChE and interacted within the active site of AChE via H-bonds and hydrophobic interactions.